Conversation summary

ABSTRACT

One or more computing devices, systems, and/or methods for summarization of a conversation are provided. For example, a first message of the conversation may be received from a first user and a second message of the conversation may be received from a second user. In response to a user request by a third user or a determination that the third user did not view the first message and the second message, a device, such as a server and/or a client device of the user, may analyze a plurality of messages comprising the first message and the second message to generate a summary based upon the plurality of messages. The device may present the summary to the third user.

BACKGROUND

Many services, such as instant messaging services, email services,social networks and apps may allow a user to create an account capableof sending and receiving messages in a group conversation, such as agroup chat using an app, a group chat using an instant message service,a group chat using a text message service, a group chat using a socialnetwork or an email stream. The user may not have time to keep up withand view/read all the messages in the group conversation.

SUMMARY

In accordance with the present disclosure, one or more computing devicesand/or methods for summarization of a conversation are provided. In anexample, a first message may be received, in a conversation (e.g., suchas a group chat using an app, a group chat using an instant messageservice, a group chat using a text message service, a group chat using asocial network or an email stream), from a first user. A second messagemay be received, in the conversation, from a second user. A summary maybe generated based upon the first message and the second message (e.g.,responsive to a user request by a third user or a determination that thethird user did not view the first message and the second message). Thesummary may be presented to the third user (e.g., in such a way that theuser may have an understanding of the first message and the secondmessage).

DESCRIPTION OF THE DRAWINGS

While the techniques presented herein may be embodied in alternativeforms, the particular embodiments illustrated in the drawings are only afew examples that are supplemental of the description provided herein.These embodiments are not to be interpreted in a limiting manner, suchas limiting the claims appended hereto.

FIG. 1 is an illustration of a scenario involving various examples ofnetworks that may connect servers and clients.

FIG. 2 is an illustration of a scenario involving an exampleconfiguration of a server that may utilize and/or implement at least aportion of the techniques presented herein.

FIG. 3 is an illustration of a scenario involving an exampleconfiguration of a client that may utilize and/or implement at least aportion of the techniques presented herein.

FIG. 4 is a flow chart illustrating an example method for generating asummary based upon a conversation.

FIG. 5 is a component block diagram illustrating an example system forsummarizing a conversation.

FIG. 6A is a component block diagram illustrating an example system forgenerating a summary 620 based upon a conversation and a user selection.

FIG. 6B is a component block diagram illustrating an example userselection comprising one or more settings such as a background scenery,a first visual representation corresponding to a second user, a secondvisual representation corresponding to a third user, a first voicecorresponding to the second user, a second voice corresponding to thethird user and/or a background music.

FIG. 6C is a component block diagram illustrating an example summarybased upon a user selection.

FIG. 7 is a component block diagram illustrating an example system forsummarizing a conversation wherein a server and/or a client device mayanalyze a message to determine an emotion and generate a visualrepresentation and/or a voice based upon an emotion and the serverand/or the client device may analyze a message to generate a soundeffect based upon a word, a phrase and/or a symbol.

FIG. 8 is an illustration of a scenario featuring an examplenon-transitory machine readable medium in accordance with one or more ofthe provisions set forth herein.

DETAILED DESCRIPTION

Subject matter will now be described more fully hereinafter withreference to the accompanying drawings, which form a part hereof, andwhich show, by way of illustration, specific example embodiments. Thisdescription is not intended as an extensive or detailed discussion ofknown concepts. Details that are known generally to those of ordinaryskill in the relevant art may have been omitted, or may be handled insummary fashion.

The following subject matter may be embodied in a variety of differentforms, such as methods, devices, components, and/or systems.Accordingly, this subject matter is not intended to be construed aslimited to any example embodiments set forth herein. Rather, exampleembodiments are provided merely to be illustrative. Such embodimentsmay, for example, take the form of hardware, software, firmware or anycombination thereof.

1. Computing Scenario

The following provides a discussion of some types of computing scenariosin which the disclosed subject matter may be utilized and/orimplemented.

1.1. Networking

FIG. 1 is an interaction diagram of a scenario 100 illustrating aservice 102 provided by a set of servers 104 to a set of client devices110 via various types of networks. The servers 104 and/or client devices110 may be capable of transmitting, receiving, processing, and/orstoring many types of signals, such as in memory as physical memorystates.

The servers 104 of the service 102 may be internally connected via alocal area network 106 (LAN), such as a wired network where networkadapters on the respective servers 104 are interconnected via cables(e.g., coaxial and/or fiber optic cabling), and may be connected invarious topologies (e.g., buses, token rings, meshes, and/or trees). Theservers 104 may be interconnected directly, or through one or more othernetworking devices, such as routers, switches, and/or repeaters. Theservers 104 may utilize a variety of physical networking protocols(e.g., Ethernet and/or Fiber Channel) and/or logical networkingprotocols (e.g., variants of an Internet Protocol (IP), a TransmissionControl Protocol (TCP), and/or a User Datagram Protocol (UDP). The localarea network 106 may include, e.g., analog telephone lines, such as atwisted wire pair, a coaxial cable, full or fractional digital linesincluding T1, T2, T3, or T4 type lines, Integrated Services DigitalNetworks (ISDNs), Digital Subscriber Lines (DSLs), wireless linksincluding satellite links, or other communication links or channels,such as may be known to those skilled in the art. The local area network106 may be organized according to one or more network architectures,such as server/client, peer-to-peer, and/or mesh architectures, and/or avariety of roles, such as administrative servers, authenticationservers, security monitor servers, data stores for objects such as filesand databases, business logic servers, time synchronization servers,and/or front-end servers providing a user-facing interface for theservice 102.

Likewise, the local area network 106 may comprise one or moresub-networks, such as may employ differing architectures, may becompliant or compatible with differing protocols and/or may interoperatewithin the local area network 106. Additionally, a variety of local areanetworks 106 may be interconnected; e.g., a router may provide a linkbetween otherwise separate and independent local area networks 106.

In the scenario 100 of FIG. 1, the local area network 106 of the service102 is connected to a wide area network 108 (WAN) that allows theservice 102 to exchange data with other services 102 and/or clientdevices 110. The wide area network 108 may encompass variouscombinations of devices with varying levels of distribution andexposure, such as a public wide-area network (e.g., the Internet) and/ora private network (e.g., a virtual private network (VPN) of adistributed enterprise).

In the scenario 100 of FIG. 1, the service 102 may be accessed via thewide area network 108 by a user 112 of one or more client devices 110,such as a portable media player (e.g., an electronic text reader, anaudio device, or a portable gaming, exercise, or navigation device); aportable communication device (e.g., a camera, a phone, a wearable or atext chatting device); a workstation; and/or a laptop form factorcomputer. The respective client devices 110 may communicate with theservice 102 via various connections to the wide area network 108. As afirst such example, one or more client devices 110 may comprise acellular communicator and may communicate with the service 102 byconnecting to the wide area network 108 via a wireless local areanetwork 106 provided by a cellular provider. As a second such example,one or more client devices 110 may communicate with the service 102 byconnecting to the wide area network 108 via a wireless local areanetwork 106 provided by a location such as the user's home or workplace(e.g., a WiFi (Institute of Electrical and Electronics Engineers (IEEE)Standard 802.11) network or a Bluetooth (IEEE Standard 802.15.1)personal area network). In this manner, the servers 104 and the clientdevices 110 may communicate over various types of networks. Other typesof networks that may be accessed by the servers 104 and/or clientdevices 110 include mass storage, such as network attached storage(NAS), a storage area network (SAN), or other forms of computer ormachine readable media.

1.2. Server Configuration

FIG. 2 presents a schematic architecture diagram 200 of a server 104that may utilize at least a portion of the techniques provided herein.Such a server 104 may vary widely in configuration or capabilities,alone or in conjunction with other servers, in order to provide aservice such as the service 102.

The server 104 may comprise one or more processors 210 that processinstructions. The one or more processors 210 may optionally include aplurality of cores; one or more coprocessors, such as a mathematicscoprocessor or an integrated graphical processing unit (GPU); and/or oneor more layers of local cache memory. The server 104 may comprise memory202 storing various forms of applications, such as an operating system204; one or more server applications 206, such as a hypertext transportprotocol (HTTP) server, a file transfer protocol (FTP) server, or asimple mail transport protocol (SMTP) server; and/or various forms ofdata, such as a database 208 or a file system. The server 104 maycomprise a variety of peripheral components, such as a wired and/orwireless network adapter 214 connectible to a local area network and/orwide area network; one or more storage components 216, such as a harddisk drive, a solid-state storage device (SSD), a flash memory device,and/or a magnetic and/or optical disk reader.

The server 104 may comprise a mainboard featuring one or morecommunication buses 212 that interconnect the processor 210, the memory202, and various peripherals, using a variety of bus technologies, suchas a variant of a serial or parallel AT Attachment (ATA) bus protocol; aUniform Serial Bus (USB) protocol; and/or Small Computer SystemInterface (SCI) bus protocol. In a multibus scenario, a communicationbus 212 may interconnect the server 104 with at least one other server.Other components that may optionally be included with the server 104(though not shown in the schematic diagram 200 of FIG. 2) include adisplay; a display adapter, such as a graphical processing unit (GPU);input peripherals, such as a keyboard and/or mouse; and a flash memorydevice that may store a basic input/output system (BIOS) routine thatfacilitates booting the server 104 to a state of readiness.

The server 104 may operate in various physical enclosures, such as adesktop or tower, and/or may be integrated with a display as an“all-in-one” device. The server 104 may be mounted horizontally and/orin a cabinet or rack, and/or may simply comprise an interconnected setof components. The server 104 may comprise a dedicated and/or sharedpower supply 218 that supplies and/or regulates power for the othercomponents. The server 104 may provide power to and/or receive powerfrom another server and/or other devices. The server 104 may comprise ashared and/or dedicated climate control unit 220 that regulates climateproperties, such as temperature, humidity, and/or airflow. Many suchservers 104 may be configured and/or adapted to utilize at least aportion of the techniques presented herein.

1.3. Client Device Configuration

FIG. 3 presents a schematic architecture diagram 300 of a client device110 whereupon at least a portion of the techniques presented herein maybe implemented. Such a client device 110 may vary widely inconfiguration or capabilities, in order to provide a variety offunctionality to a user such as the user 112. The client device 110 maybe provided in a variety of form factors, such as a desktop or towerworkstation; an “all-in-one” device integrated with a display 308; alaptop, tablet, convertible tablet, or palmtop device; a wearable devicemountable in a headset, eyeglass, earpiece, and/or wristwatch, and/orintegrated with an article of clothing; and/or a component of a piece offurniture, such as a tabletop, and/or of another device, such as avehicle or residence. The client device 110 may serve the user in avariety of roles, such as a workstation, kiosk, media player, gamingdevice, and/or appliance.

The client device 110 may comprise one or more processors 310 thatprocess instructions. The one or more processors 310 may optionallyinclude a plurality of cores; one or more coprocessors, such as amathematics coprocessor or an integrated graphical processing unit(GPU); and/or one or more layers of local cache memory. The clientdevice 110 may comprise memory 301 storing various forms ofapplications, such as an operating system 303; one or more userapplications 302, such as document applications, media applications,file and/or data access applications, communication applications such asweb browsers and/or email clients, utilities, and/or games; and/ordrivers for various peripherals. The client device 110 may comprise avariety of peripheral components, such as a wired and/or wirelessnetwork adapter 306 connectible to a local area network and/or wide areanetwork; one or more output components, such as a display 308 coupledwith a display adapter (optionally including a graphical processing unit(GPU)), a sound adapter coupled with a speaker, and/or a printer; inputdevices for receiving input from the user, such as a keyboard 311, amouse, a microphone, a camera, and/or a touch-sensitive component of thedisplay 308; and/or environmental sensors, such as a global positioningsystem (GPS) receiver 319 that detects the location, velocity, and/oracceleration of the client device 110, a compass, accelerometer, and/orgyroscope that detects a physical orientation of the client device 110.Other components that may optionally be included with the client device110 (though not shown in the schematic architecture diagram 300 of FIG.3) include one or more storage components, such as a hard disk drive, asolid-state storage device (SSD), a flash memory device, and/or amagnetic and/or optical disk reader; and/or a flash memory device thatmay store a basic input/output system (BIOS) routine that facilitatesbooting the client device 110 to a state of readiness; and a climatecontrol unit that regulates climate properties, such as temperature,humidity, and airflow.

The client device 110 may comprise a mainboard featuring one or morecommunication buses 312 that interconnect the processor 310, the memory301, and various peripherals, using a variety of bus technologies, suchas a variant of a serial or parallel AT Attachment (ATA) bus protocol;the Uniform Serial Bus (USB) protocol; and/or the Small Computer SystemInterface (SCI) bus protocol. The client device 110 may comprise adedicated and/or shared power supply 318 that supplies and/or regulatespower for other components, and/or a battery 304 that stores power foruse while the client device 110 is not connected to a power source viathe power supply 318. The client device 110 may provide power to and/orreceive power from other client devices.

In some scenarios, as a user 112 interacts with a software applicationon a client device 110 (e.g., an instant messenger and/or electronicmail application), descriptive content in the form of signals or storedphysical states within memory (e.g., an email address, instant messengeridentifier, phone number, postal address, message content, date, and/ortime) may be identified. Descriptive content may be stored, typicallyalong with contextual content. For example, the source of a phone number(e.g., a communication received from another user via an instantmessenger application) may be stored as contextual content associatedwith the phone number. Contextual content, therefore, may identifycircumstances surrounding receipt of a phone number (e.g., the date ortime that the phone number was received), and may be associated withdescriptive content. Contextual content, may, for example, be used tosubsequently search for associated descriptive content. For example, asearch for phone numbers received from specific individuals, receivedvia an instant messenger application or at a given date or time, may beinitiated. The client device 110 may include one or more servers thatmay locally serve the client device 110 and/or other client devices ofthe user 112 and/or other individuals. For example, a locally installedwebserver may provide web content in response to locally submitted webrequests. Many such client devices 110 may be configured and/or adaptedto utilize at least a portion of the techniques presented herein.

2. Presented Techniques

One or more computing devices and/or techniques for summarizingconversations are provided. For example, a user may be a member of aconversation (e.g., such as a group chat using an app, a group chatusing an instant messaging service, a group chat using a text messageservice, a group chat using a social network, an email stream, etc.)with a plurality of users (e.g., members of the conversation). The usermay want to view (e.g., and/or read) a plurality of messages of theconversation (e.g., an unread portion of the conversation, a skimmedportion of the conversation, a portion of the conversation that the useris interested in, etc.). Viewing (e.g., and/or reading) the plurality ofmessages may consume a significant amount of time and/or resources ofthe user (e.g., mental energy, attention, etc.). Thus, in accordancewith one or more of the techniques presented herein, the conversationmay be summarized (e.g., and/or shortened) to allow the user to attainan understanding of the plurality of messages by viewing a (e.g.,graphical, audible and/or textual) summary. Consuming (e.g., reading,watching, listening to, etc.) the summary may require less time and/orresources (e.g., less mental energy, less attention, etc.) than viewing(e.g., and/or reading) the plurality of messages. Viewing the summarymay also provide a pleasant (e.g., and/or entertaining) experience forthe user.

Implementation of at least some of the disclosed subject matter may leadto benefits including, but not limited to, a reduction in screen spaceand/or an improved usability of a display (e.g., of a client device) (asa result of presenting an audible representation of a summary, as aresult of presenting a graphical representation of the summary, as aresult of presenting a textual representation of the summary, as aresult of summarizing and/or shortening the portion of the conversationetc.). Alternatively and/or additionally, implementation of at leastsome of the disclosed subject matter may lead to benefits including areduction in power consumption of a client device (e.g., as a result ofpresenting the audible representation of the summary, as a result ofpresenting the graphical representation of the summary, as a result ofpresenting the textual representation of the summary, as a result ofsummarizing and/or shortening the portion of the conversation, as aresult of the user spending less time viewing the portion of theconversation due to the summarization of the portion of theconversation, as a result of a reduction of transmission and/orreception of data, etc.). Alternatively and/or additionally,implementation of at least some of the disclosed subject matter may leadto benefits including a reduction in bandwidth (e.g., as a result ofsummarizing and/or shortening the portion of the conversation, as aresult of a reduction of transmission and/or reception of data, etc.).Alternatively and/or additionally, implementation of at least some ofthe disclosed subject matter may lead to benefits including an increasein speed and usability of the client device (e.g., as a result of afaster transmission speed of the summary as compared to a transmissionof the portion of the conversation).

Further, implementation of at least some of the disclosed subject mattermay lead to benefits for the user including, but not limited to, areduction in time consumption for the user as a result of thesummarization of the portion of the conversation and/or a reduction inmental energy and/or attention loads for the user by providing the usera more convenient method for understanding the portion of theconversation (e.g., the user may select an audible, graphical and/ortextual summary based upon the user's convenience). Further,implementation of at least some of the disclosed subject matter may leadto benefits for the user including understanding one or more desiredparts of the portion of the conversation using a summary (e.g., thesummary accurately configured for the user based upon a user selection)without an inconvenience of having to consume undesired parts of theconversation.

An embodiment of generating a summary based upon a (e.g., group)conversation is illustrated by an example method 400 of FIG. 4. A user,such as user Jill, (e.g., and/or a client device) may access and/orinteract with a service for sending and receiving messages, such as aninstant messaging service, an email service, a social network, an app,etc. An account of the user with the service may be accessed and/orinteracted with via one or more interfaces on the client device, such asa browser, an app, an email client, or another interface on the clientdevice. The user may be a member of the conversation (e.g., such as agroup chat using an app, a group chat using an instant messagingservice, a group chat using a text message service, a group chat using asocial network, an email stream, etc.) with a plurality of users (e.g.,members of the conversation). Accordingly, at 405, a first message maybe received (e.g., by a server and/or the client device) from a seconduser, such as user Andy (e.g., and/or a device associated with thesecond user) (e.g., via a browser, an app, an email client, a socialnetwork, an instant messaging service etc.), in the conversation. At410, a second message may be received (e.g., by the server and/or theclient device) from a third user, such as user Anne (e.g., and/or adevice associated with the second user) (e.g., via a browser, an app, anemail client, a social network, an instant messaging service etc.), inthe conversation.

The user may want to view (e.g., and/or read) a plurality of messages ofthe conversation (e.g., an unread portion of the conversation, a skimmedportion of the conversation, a portion of the conversation that the useris interested in, etc.) comprising the first message and the secondmessage. In some examples, however, viewing (e.g., and/or reading) theplurality of messages may consume a significant amount of time and/orresources of the user (e.g., depending upon an amount of messages and/ora size of messages). Accordingly, at 415, a summary based upon the firstmessage and the second message may be generated (e.g., by the serverand/or the client device). The server and/or the client device maygenerate the summary responsive to a determination that the user did notview (e.g., and/or read) the first message and the second message.Alternatively and/or additionally, the server and/or the client devicemay receive a user request to generate (e.g., and/or present) thesummary from the user. In some examples, the server and/or the clientdevice may generate the summary responsive to receiving the userrequest. The user request may be received via a conversational interface(e.g., a voice recognition and natural language interface), an interfacecomprising one or more buttons and/or a different type of interface.

In some examples, the summary may comprise a graphical representation ofa combination of the first message and the second message. Alternativelyand/or additionally, the summary may comprise a textual representationof the combination of the first message and the second message.Alternatively and/or additionally, the summary may comprise an audiblerepresentation of the combination of the first message and the secondmessage. The server and/or the client device may combine the graphicalrepresentation, the textual representation and/or the audiblerepresentation to generate the summary.

The graphical representation may comprise (e.g., a combination of) abackground scenery and/or an animation (e.g., overlaid on the backgroundscenery). In some examples, the animation comprises a first visualrepresentation (e.g., corresponding to the second user) and/or a secondvisual representation (e.g., corresponding to the third user). In otherexamples, the animation may comprise visual representationscorresponding to (e.g., other) users in the conversation. The user mayselect the first visual representation and/or the second visualrepresentation. Alternatively and/or additionally, the server and/or theclient device may select the first visual representation (e.g., basedupon user information corresponding to the second user, based upon apicture of the second user, based upon an age of the second user, basedupon a gender of the second user, randomly, etc.) and/or the secondvisual representation (e.g., based upon user information correspondingto the third user, based upon a picture of the third user, based upon anage of the third user, based upon a gender of the third user, randomly,etc.).

The animation may portray content of the first message and the secondmessage that the server and/or the client device deems significant. Forexample, the first visual representation and/or the second visualrepresentation may act out the content (e.g., in such a way that theuser understands the content).

The audible representation may comprise (e.g., a combination of) abackground music, one or more sound effects and/or an audible narration.In some examples, the audible narration comprises a first audible userrepresentation (e.g., corresponding to the second user) and/or a secondaudible user representation (e.g., corresponding to the third user). Inother examples, the audible narration may comprise audible userrepresentations corresponding to (e.g., other) users in theconversation. The user may select the first audible user representation(e.g., “Andy”) and the second audible user representation (e.g.,“Anne”). Alternatively and/or additionally, the server and/or the clientdevice may select the first audible user representation (e.g., basedupon a name of the second user, a username of the second user, anickname of the second user, etc.) and/or the second audible userrepresentation (e.g., based upon a name of the third user, a username ofthe third user, a nickname of the third user, etc.). The server and/orthe client device may generate the one or more sound effects based uponthe combination of the first message and the second message. Forexample, the server and/or the client device may generate a sound effectbased upon a word and/or a phrase within the combination of the firstmessage and the second message (e.g., generate a telephone ringing soundbased upon an instance of a phrase, “she called me” or a word,“telephone”). In another example, the server and/or the client devicemay generate the sound effect based upon a symbol (e.g., an image, anemoji, etc.) within the combination of the first message and the secondmessage (e.g., generate a telephone ringing sound based upon an image ofa telephone or a telephone emoji).

The audible narration may present content of the first message and thesecond message that the server and/or the client device deemssignificant. For example, the server and/or the client device maygenerate the audible narration to narrate the content (e.g., in such away that may provide the user with an understanding the content).

Alternatively and/or additionally, the audible representation maycomprise (e.g., a combination of) a background music, one or more soundeffects and/or a dialogue. In some examples, the server and/or theclient device may generate the dialogue based upon the combination ofthe first message and the second message. In some examples, the dialoguemay comprise a first dialogue part (e.g., corresponding to the seconduser) and/or a second dialogue part (e.g., corresponding to the thirduser).

The user may select a first voice (e.g., corresponding to the seconduser) for the first dialogue part and a second voice (e.g.,corresponding to the third user) for the second dialogue part. The usermay modify the first voice and the second voice (e.g., modify the firstvoice and/or the second voice to sound older/younger, modify the firstvoice and/or the second voice to sound higher/deeper, change an accentof the first voice and/or the second voice). The user may apply effectsto the first voice and the second voice (e.g., echo effects, underwatereffects, etc.). Alternatively and/or additionally, the server and/or theclient device may select the first voice (e.g., based upon the userinformation corresponding to the second user, based upon an audiorecording of the second user, based upon the age of the second user,based upon the gender of the second user, randomly, etc.) and/or thesecond voice (e.g., based upon user the information corresponding to thethird user, based upon an audio recording of the third user, based uponthe age of the third user, based upon the gender of the third user,randomly, etc.).

The dialogue may present content of the first message and the secondmessage that the server and/or the client device deems significant. Forexample, the server and/or the client device may generate the dialogueto portray the content (e.g., in such a way that the user understandsthe content). In some examples, the server and/or the client device mayanalyze the first message (e.g., and/or content within the first messagedeemed significant) in order to determine a first emotion (e.g.,excited, happy, bored, sad, mad, scared, etc.). The server and/or theclient device may (e.g., then) generate the first dialogue part (e.g.,and/or configure the first voice) based upon the first emotion. In someexamples, the server and/or the client device may analyze the secondmessage (e.g., and/or content within the second message deemedsignificant) in order to determine a second emotion (e.g., excited,happy, bored, sad, mad, scared, etc.). The server and/or the clientdevice may (e.g., then) generate the second dialogue part (e.g., and/orconfigure the second voice) based upon the second emotion.

In examples where the audio recording of the second user (e.g.,comprising a voice of the second user) is available to the server and/orthe client device, the server and/or the client device may analyze theaudio recording of the second user to generate the first dialogue part(e.g., and/or configure the first voice) based upon the voice of thesecond user. Similarly, in examples where the audio recording of thethird user (e.g., comprising a voice of the third user) is available tothe server and/or the client device, the server and/or the client devicemay analyze the audio recording of the third user to generate the seconddialogue part (e.g., and/or configure the second voice) based upon thevoice of the third user. In some examples, the server and/or the clientdevice may generate the first dialogue part (e.g., and/or configure thefirst voice) based upon the first emotion and the voice of the seconduser. Similarly, the server and/or the client device may generate thesecond dialogue part (e.g., and/or configure the second voice) basedupon the second emotion and the voice of the third user.

In some examples, the summary may comprise an abstractive summary. Theserver and/or the client device may generate the abstractive summary byshortening and/or summarizing content of the first message and thesecond message (e.g., and/or other messages) that the server and/or theclient device deems significant. In an example, the server and/or theclient device may apply natural language processing (NLP) to the firstmessage to generate a first abstractive summary part. Similarly, theserver and/or the client device may apply NLP to the second message togenerate a second summary part. The server and/or the client device may(e.g., then) combine the first summary part and the second summary partto generate the abstractive summary. For example, the first message maybe “Andy: Hey Anne, good morning! You should come to the meetingtomorrow.” The second message may be “Anne: Hi Andy, how are you?Unfortunately, I'm busy tomorrow and can't make it.” The server and/orthe client device may generate the first abstractive summary part to be“Andy told Anne to attend tomorrow's meeting” and the second abstractivesummary part to be “Anne said she can't make it.” The server and/or theclient device may combine the first summary part and the second summarypart to generate the abstractive summary: “Andy told Anne to attendtomorrow's meeting. Anne said she can't make it.”

Alternatively and/or additionally, the server and/or the client devicemay apply NLP to a combination of the first message and the secondmessage (e.g., as a whole) to shorten and/or summarize (e.g.,significant) content of the first message and the second message (e.g.,and/or other messages) and to generate the abstractive summary. Forexample, the first message may be “Andy: Hey Anne, good morning! Youshould come to the meeting tomorrow.” The second message may be “Anne:Hi Andy, how are you? Unfortunately, I'm busy tomorrow and can't makeit.” The server and/or the client device may generate the abstractivesummary: “Andy told Anne to attend meeting tomorrow but Anne can't.”

Alternatively and/or additionally, the summary may comprise anextractive summary. The server and/or the client device may generate theextractive summary by extracting one or more (e.g., verbatim) extractsfrom content of the first message and the second message (e.g., and/orother messages) that the server and/or the client device deemssignificant. In an example, the server and/or the client device mayanalyze the first message to identify a first (e.g., verbatim) extract(e.g., and/or one or more verbatim extracts). Similarly, the serverand/or the client device may analyze the second message to identify asecond (e.g., verbatim) extract (e.g., and/or one or more secondverbatim extracts). The server and/or the client device may (e.g., then)combine the first (e.g., verbatim) extract and the second (e.g.,verbatim) extract to generate the extractive summary. For example, thefirst message may be “Andy: Hey Anne, good morning! You should come tothe meeting tomorrow.” The second message may be “Anne: Hi Andy, how areyou? Unfortunately, I'm busy tomorrow and can't make it”. The serverand/or the client device may analyze the first message to identify afirst extract: “Anne,” and a second extract: “come to the meeting”. Theserver and/or the client device may analyze the second message toidentify a third extract: “can't make it.” The server and/or the clientdevice may combine the first extract, the second extract and the thirdextract to generate the extractive summary: “Andy: Anne, . . . come tothe meeting . . . Anne: . . . can't make it.”

Alternatively and/or additionally, the server and/or the client devicemay analyze a combination of the first message and the second message(e.g., as a whole) to identify one or more extracts. For example, thefirst message may be “Andy: Hey Anne, good morning! You should come tothe meeting tomorrow.” The second message may be “Anne: Hi Andy, how areyou? Unfortunately, I'm busy tomorrow and can't make it.” The serverand/or the client device may analyze the combination of the firstmessage and the second message to identify the first extract, the secondextract and the third extract. The server and/or the client device maycombine the first extract, the second extract and the third extract togenerate the extractive summary: “Andy: Anne, . . . come to the meeting. . . Anne: . . . can't make it.”

In some examples, analyzing a combination of messages may involve (e.g.,first) analyzing the combination to determine a context, and thenanalyzing each message (e.g., individually) based upon the context. Forexample, analyzing the combination of the first message and the secondmessage may be performed to determine an invitation context. In theexample, the first message may be analyzed based upon the invitationcontext (e.g., with a focus on attempting to identify languagecorresponding to an invitation and/or a response to an invitation) andthe second message may be analyzed based upon the invitation context(e.g., with a focus on attempting to identify language corresponding toan invitation and/or a response to an invitation).

The summary may comprise a topic based summary. The topic based summarymay comprise an automatically-selected-topic based summary. For example,the server and/or the client device may generate the topic based summaryto portray content of the first message and the second message (e.g.,and/or other messages) that the server and/or the client device deemssignificant (e.g., in such a way that may provide the user with ageneral (e.g., summarized) understanding of the first message and thesecond message). The server and/or the client device may use machinelearning technology to analyze a time series to identify one or moresignificant (e.g., important) parts (e.g., and/or a beginning and endingof a significant part) of the first message and the second message(e.g., and/or other messages in a conversation) based upon a rate ofactivity per time. The server and/or the client device may analyze thefirst message and the second message (e.g., and/or other messages in theconversation) and determine a greater significance of the one or moresignificant parts in response to determining the one or more significantparts have a higher rate of activity per time than a rate of activitythreshold. In some examples, the rate of activity threshold may be basedupon the first message and the second message (e.g., and/or othermessages). In some examples, messages within the plurality of messagesmay be compressed based upon times of the messages. For example, an oldmessage corresponding to a first time (e.g., the old message received inthe conversation at the first time) may be compressed more than a newmessage corresponding to a second time (e.g., the second time after thefirst time) (e.g., the new message received in the conversation at thesecond time).

Alternatively and/or additionally, the server and/or the client devicemay use information retrieval (IR) technology to determine a termfrequency-inverse document frequency (TF-IDF) value (and/or one or moreTF-IDF values) based upon a term (e.g., and/or one or more terms) withinthe first message and the second message (e.g., and/or other messages ina conversation). The server and/or the client device may determine thata topic (e.g., and/or one or more topics) is significant based upon theTF-IDF value (e.g., and/or the one or more TF-IDF values). The serverand/or the client device may then generate the topic based summary toportray content corresponding to (e.g., and/or related to) the topic(e.g., and/or the one or more topics) (e.g., in such a way that mayprovide the user with an understanding the content of the conversation).

For example, the server and/or the client device may determine that afirst topic is significant based upon a first TF-IDF value. The serverand/or the client device may determine that a second topic issignificant based upon a second TF-IDF value. The server and/or theclient device may then generate the topic based summary to portraycontent corresponding to (e.g., and/or related to) the first topic andthe second topic (e.g., in such a way that the user understands thecontent).

The topic based summary may comprise a user-selected-topic basedsummary. For example, the server and/or the client device may generatethe topic based summary based upon a topic (e.g., and/or one or moretopics) and/or a subtopic (e.g., and/or one or more subtopics) selectedby the user (e.g., and/or received by the server and/or the clientdevice from the user). In some examples, the server and/or the clientdevice may generate a list of topics (e.g., comprising one or moretopics and/or one or more subtopics) using IR technology. The user may(e.g., then) select one or more topics (e.g., and/or one or moresubtopics) from the list of topics. The user may select the one or moretopics (e.g., and/or the one or more subtopics) by using aconversational interface (e.g., a voice recognition and/or naturallanguage interface), an interface comprising one or more buttons and/ora different type of interface. The server and/or the client device maythen generate the topic based summary to portray content correspondingto the one or more topics (e.g., and/or the one or more subtopics)(e.g., in such a way that the user understands the content).

In an example, the server and/or the client device may generate a listof topics and subtopics based upon the conversation (e.g., comprisingone or more messages from Jason, Anne and/or Andy):

1. Yesterday's meeting

-   -   a. Attendance    -   b. Opinions    -   c. Contract

2. Dinner party next week

a. Attendance

b. Cake

The user may select a first subtopic, Attendance, corresponding to afirst topic, Yesterday's meeting, from the list of topics. The user mayselect a second topic, Dinner party next week, from the list of topics.The user may select the one or more topics (e.g., and/or the one or moresubtopics) by using a conversational interface (e.g., a voicerecognition and natural language interface), an interface comprising oneor more buttons and/or a different type of interface. The server and/orthe client device may (e.g., then) generate the topic based summary:“Jason, Anne and Andy attended yesterday's meeting. Jason and Anne planto attend the dinner party and Anne will bring cake.”

In some examples, similar statements within the plurality of messagesmay be compressed into a single statement. For example, statements ofagreement (e.g., and/or statements of disagreement) may be compressedinto a chorus of agreement (e.g., and/or a chorus of disagreement). Inan example, a third message may be sent by a fourth user, such as userJason, in the conversation: “That was a difficult test, right?” A firstnumber of users (e.g., 47 users) may send statements expressingagreement with the third message. A second number of users (e.g., 32users) may send statements expressing disagreement with the thirdmessage. Accordingly, the server and/or the client device may compressthe statements expressing agreement to generate a first singlestatement: “47 users agree”. The server and/or the client device maycompress the statements expressing disagreement to generate a secondsingle statement: “32 users disagree”. The server and/or the clientdevice may combine the third message, the first single statement and thesecond single statement to generate the topic based summary: “Jason saidthe test was difficult; 47 users agree and 32 users disagree.”

The summary may comprise a user based summary. For example, the serverand/or the client device may generate the user based summary based uponactivity related to a specific user. The specific user may be based upona user identification selected by the user (e.g., and/or received by theserver and/or the client device from the user). The activity maycomprise activity of the specific user and/or activity (e.g., of one ormore other users) related to the specific user. In some examples, theserver and/or the client device may determine one or more significantparts of the activity related to the specific user using IR technology,analyzing one or more TF-IDF values and/or one or more rates of activityper time, identifying atypical vocabulary and/or filtering activitydetermined to be irrelevant (e.g., good-morning, hello, goodbye, etc.).The server and/or the client device may generate the user based summaryto portray the one or more significant parts (e.g., in such a way thatthe user understands the one or more significant parts).

For example, the second user may be invited to the conversation by thethird user. The second user may (e.g., then) enter the conversation. Thesecond user may (e.g., then) send the first message “Andy: Hey Anne,good morning! You should come to the meeting tomorrow.” The secondmessage (e.g., sent by the third user) may be “Anne: Hi Andy, how areyou? Unfortunately, I'm busy tomorrow and can't make it”, the thirdmessage (e.g., sent by the fourth user) may be “Jason: That was adifficult test, right?” and a fourth message, sent by the second usermay be “Andy: Yeah it was hard!” The second user may (e.g., then) leavethe conversation. The user may select a user identification, “Andy”,corresponding to the second user. The user may select the useridentification by using a conversational interface (e.g., a voicerecognition and natural language interface), an interface comprising oneor more buttons and/or a different type of interface. The server and/orthe client device may then generate the user based summary: “Andy wasinvited to the conversation by Anne. Andy accepted. Andy told Anne toattend the meeting tomorrow but Anne can't. Andy agreed with Jason thatthe test was hard. Andy left the conversation.”

The summary may comprise a set-of-users based summary. For example, theserver and/or the client device may generate the set-of-users basedsummary based upon activity related to a plurality of users. Theplurality of users may be based upon a plurality of user identificationsselected by the user (e.g., and/or received by the server and/or theclient device from the user). The activity may comprise activity of theplurality of users and/or activity (e.g., of one or more users) relatedto the plurality of users. In some examples, the server and/or theclient device may determine one or more significant parts of theactivity related to the plurality of users by using IR technology, byanalyzing one or more TF-IDF values and/or one or more rates of activityper time, by identifying atypical vocabulary and/or by filteringactivity determined to be irrelevant (e.g., good-morning, hello,goodbye, etc.). The server and/or the client device may generate theset-of-users based summary to portray the one or more significant parts(e.g., in such a way that the user understands the one or moresignificant parts).

For example, the second user may be invited to the conversation by thethird user. The second user may (e.g., then) enter the conversation. Thesecond user may (e.g., then) send the first message “Andy: Hey Anne,good morning! You should come to the meeting tomorrow.” The secondmessage (e.g., sent by the third user) may be “Anne: Hi Andy, how areyou? Unfortunately, I'm busy tomorrow and can't make it”, the thirdmessage (e.g., sent by the fourth user) may be “Jason: That was adifficult test, right?” and a fourth message, sent by the second usermay be “Andy: Yeah it was hard!” The second user may (e.g., then) leavethe conversation. The user may select a first user identification,“Andy”, corresponding to the second user, and a second useridentification, “Jason”, corresponding to the fourth user. The user mayselect the first user identification and/or the second useridentification by using a conversational interface (e.g., a voicerecognition and natural language interface), an interface comprising oneor more buttons and/or a different type of interface. The server and/orthe client device may then generate the user based summary: “Andy wasinvited to the conversation by Anne. Andy accepted. Andy told Anne toattend meeting tomorrow but Anne can't. Jason said the test wasdifficult. Andy agreed. Andy left the conversation.”

The summary may comprise a membership based summary. For example, theserver and/or the client device may generate the membership basedsummary based upon one or more membership statuses (e.g., correspondingto one or more users) and/or changes to the one or more membershipstatuses. The one or more users may be based upon one or more useridentifications selected by the user (e.g., and/or received by theserver and/or the device from the user). In some examples, the serverand/or the client device may determine the one or more membershipstatues and/or changes to the one or more statuses by analyzinginactivity of the one or more users, by analyzing activity of the one ormore users, by analyzing atypical activity of the one or more users, byidentifying when a rate of activity per time of the one or more usersincreases and/or decreases, by identifying an exclusion (e.g., and/ordeletion from the group) of one of the one or more users and/or aninclusion (e.g., and/or addition to the group) of one of the one or moreusers, by analyzing a membership (e.g., group) dynamic of the one ormore users and/or by filtering out activity and/or changes to the one ormore membership statuses determined to be irrelevant. The server and/orthe client device may generate the membership based summary to portraycontent of the one or more membership statuses and/or changes to the oneor more membership statuses that the server and/or the client devicedeems significant.

For example, the second user may be invited to the conversation by thethird user at a first time. The second user may (e.g., then) enter theconversation. The second user may have a first membership status (e.g.,Last seen recently). The second user may (e.g., then) have a first rateof activity per time (e.g., 40 to 60 messages sent per day) for a firstamount of time (e.g., two days). The second user may (e.g., then) have asecond rate of activity per time (e.g., 10 to 30 messages sent per day)for a second amount of time (e.g., three days). The second user may(e.g., then) have no activity (e.g., send 0 messages) for a third amountof time (e.g., seven days). A membership status of the second user may(e.g., then) change from the first membership status to a secondmembership status (e.g., Last seen over a week ago). The second user may(e.g., then) leave the conversation at a second time (e.g., 14 daysafter the first time). The user may select a user identification,“Andy”, corresponding to the second user at a third time (e.g. 15 daysafter the first time). The user may select the user identification byusing a conversational interface (e.g., a voice recognition and naturallanguage interface), an interface comprising one or more buttons and/ora different type of interface. The server and/or the client device maythen generate the membership based summary: “Andy was invited by Jasonover two weeks ago. Andy's status was Last seen recently. Andy was veryactive for two days (about 50 messages per day). Then Andy's activitydecreased to moderately active for three days (about 20 messages perday). Then Andy didn't send any messages or check the conversation for aweek. Andy's status changed to Last seen over a week ago. Andy left theconversation yesterday.”

In some examples, the server and/or the client device may receive a userrequest to present (e.g., and/or generate) the summary from the user.The user request may be received via a conversational interface (e.g., avoice recognition and natural language interface), an interfacecomprising one or more buttons and/or a different type of interface. Theuser request may comprise a user selection comprising one or moresummary types (e.g., a graphical representation, a textualrepresentation, an audible representation, an abstractive summary, anextractive summary, an automatically-selected-topic based summary, auser-selected-topic based summary, a user based summary, a set-of-usersbased summary and/or a membership based summary) and/or one or moresettings (e.g., parameters) (e.g., a background scenery, one or morevisual representations, a background music, one or more audible userrepresentations, one or more voices, one or more topics and/or one ormore subtopics, one or more user identifications and/or a time period ofmessages to summarize).

At 420, the server and/or the client device may (e.g., then) present thesummary to the user. In some examples, the server and/or the clientdevice may present the summary on a screen of the client device (e.g.,using a social network, an instant messaging service, an app, a browseretc.). Alternatively and/or additionally, the server and/or the clientdevice may send the summary to the user via an app, an email client, asocial network, an instant messaging service and/or a text messageservice.

In some examples, the user may modify the summary. The user may saveand/or store the summary. The user may share the summary using an app,an email client a social network, an instant messaging service, etc.Accordingly, the user may send the summary to one or more users (e.g.,one or more members) in the conversation and/or one or more users (e.g.,one or more non-members) not in the conversation.

FIG. 5 illustrates a system 500 for summarizing a conversation 505. Insome examples, a user, such as user Jill, (e.g., and/or a client deviceof the user) may access and/or interact with a service for sending andreceiving messages. The user may be a part of a (e.g., group)conversation 505 (e.g., such as a group chat using an app, a group chatusing an instant messaging service, a group chat using a text messageservice, a group chat using a social network, an email stream, etc.).Accordingly, the user may receive one or more messages from one or moreusers (e.g., and/or one or more devices associated with the one or moreusers) in the conversation 505.

In an example, the user may receive a first message 510 from a seconduser, user Andy, (e.g., and/or a device associated with the second user)in the conversation 505. Similarly, the user may receive a secondmessage 515 from a third user, user Anne, (e.g., and/or a deviceassociated with the third user) in the conversation 505. A server and/ora client device may generate a summary 520 based upon the conversation505. The server and/or the client device may generate the summary 520responsive to a determination that the user did not view (e.g., and/orread) at least a portion of the conversation 505 (e.g., the firstmessage 510 and the second message 515). Alternatively and/oradditionally, the server and/or the client device may receive a userrequest to generate the summary 520 from the user. In some examples, theserver and/or the client device may generate the summary 520 responsiveto receiving the user request. The user request may be received via aconversational interface (e.g., a voice recognition and natural languageinterface), an interface comprising one or more buttons and/or adifferent type of interface.

In some examples, the summary 520 may comprise a textual representation525, an audible representation 530 and/or a graphical representation535. For example, the summary 520 may comprise (e.g., one of) thetextual representation 525, the audible representation 530 or thegraphical representation 535. Alternatively and/or additionally, thesummary 520 may comprise a combination of (e.g., each of) the textualrepresentation 525, the audible representation 530 and the graphicalrepresentation 535. Alternatively and/or additionally, the summary 520may comprise a combination of two of the textual representation 525, theaudible representation 530 and the graphical representation 535.

In some examples, the summary 520 may be based upon the user request.For example, the summary 520 may be based upon a user selection (e.g.,comprised within the user request) comprising one or more summary types(e.g., the textual representation 525, the audible representation 530 orthe graphical representation 535, an abstractive summary, an extractivesummary, an automatically-selected-topic based summary, auser-selected-topic based summary, a user based summary, a set-of-usersbased summary and/or a membership based summary) and/or one or moresettings (e.g., parameters) (e.g., a background scenery, one or morevisual representations, background music, one or more audible userrepresentations, one or more voices, one or more topics and/orsubtopics, one or more user identifications and/or a time period ofmessages to summarize).

In some examples, (e.g., all of) the one or more summary types and theone or more settings may be determined by the server and/or the clientdevice. Alternatively and/or additionally, (e.g., all of) the one ormore summary types and the one or more settings may be specified by theuser selection (e.g., selected by the user). Alternatively and/oradditionally, at least some of the one or more summary types and the oneor more settings may be determined by the server and/or the clientdevice and at least some of the one or more summary types and the one ormore settings may be specified by the user selection (e.g., selected bythe user).

In an example, the summary 520 may comprise the textual representation525 comprising an abstractive summary (e.g., of the first message 510and the second message 515) corresponding to a time period encompassingthe first message 510 and the second message 515. Accordingly, theserver and/or the client device may apply NLP to the first message andthe second message to generate the abstractive summary to portraycontent of the first message and the second message that the serverand/or the client device deems significant (e.g., in such a way that theuser may be provided with a general understanding of the first messageand the second message).

In another example, the summary 520 may comprise the audiblerepresentation 530 comprising an abstractive summary (e.g., of the firstmessage 510 and the second message 515) corresponding to a time periodencompassing the first message 510 and the second message 515. In someexamples, the user selection may specify that a first audible userrepresentation, corresponding to the second user, is “Andy” and/or asecond audible user representation, corresponding to the third user, is“Anne”. Alternatively and/or additionally, the server and/or the clientdevice may select the first audible user representation, “Andy”, basedupon a name of the second user, a username of the second user, anickname of the second user, etc. and/or the server and/or the clientdevice may select the second audible user representation, “Anne”, basedupon a name of the third user, a username of the third user, a nicknameof the third user, etc. Accordingly, the server and/or the client devicemay apply NLP to the first message and the second message to generatethe abstractive summary to portray content of the first message and thesecond message that the server and/or the client device deemssignificant (e.g., in such a way that the user may be provided with ageneral understanding of the first message and the second message).

In another example, the summary 520 may comprise the graphicalrepresentation 535 corresponding to a time period encompassing the firstmessage 510 and the second message 515. In some examples, the userselection may specify a first visual representation (e.g., a firstavatar) corresponding to the second user and/or a second visualrepresentation (e.g., a second avatar) corresponding to the third user.Alternatively and/or additionally, the server and/or the client devicemay select the first visual representation (e.g., based upon userinformation corresponding to the second user, based upon a picture ofthe second user, based upon an age of the second user, based upon agender of the second user, randomly, etc.) and/or the second visualrepresentation (e.g., based upon user information corresponding to thethird user, based upon a picture of the third user, based upon an age ofthe third user, based upon a gender of the third user, randomly, etc.).In some examples, the user selection may specify a background scenery ofthe graphical representation 535. Alternatively and/or additionally, theserver and/or the client device may select the background scenery (e.g.,based upon a context of the conversation, one or more members of theconversation, etc.). Accordingly, the server and/or the client devicemay generate the graphical representation 535 comprising an animationwherein the first visual representation and the second visualrepresentation may act out content that the server and/or the clientdevice deems significant (e.g., in such a way that the user may beprovided with a general understanding of the first message and thesecond message).

FIG. 6A illustrates a system 600 for generating a summary 620 based upona (e.g., group) conversation 610 and a user selection 605. In someexamples, a user, such as user Jill, (e.g., and/or a client device ofthe user) may access and/or interact with a service for sending andreceiving messages. The user may be a member of the conversation 610(e.g., such as a group chat using an app, a group chat using an instantmessaging service, a group chat using a text message service, a groupchat using a social network, an email stream, etc.). Accordingly, theuser may receive one or more messages from one or more users (e.g.,and/or one or more devices associated with the one or more users) in theconversation 610.

A device 615 (e.g., comprising a server and/or a client device of theuser) may generate the summary 620 based upon the user selection 605 andthe conversation 610. The device 615 may generate the summary 620responsive to a determination that the user did not view (e.g., and/orread) at least a portion of the conversation 610. Alternatively and/oradditionally, the device 615 may receive a user request to generate(e.g., and/or present) the summary 620 from the user. In some examples,the device 615 may generate the summary 620 responsive to receiving theuser request.

In some examples, the user request may comprise the user selection 605,further illustrated in FIG. 6B. The user selection 605 may comprise oneor more summary types (e.g., a textual representation, an audiblerepresentation, a graphical representation, an abstractive summary, anextractive summary, an automatically-selected-topic based summary, auser-selected-topic based summary, a user based summary, a set-of-usersbased summary and/or a membership based summary) and/or one or moresettings (e.g., parameters) (e.g., a background scenery, one or morevisual representations, background music, one or more audible userrepresentations, one or more voices, one or more topics and/orsubtopics, one or more user identifications and/or a time period ofmessages to summarize).

In some examples, (e.g., all of) the one or more summary types and theone or more settings may be determined by the device 615. Alternativelyand/or additionally, (e.g., all of) the one or more summary types andthe one or more settings may be specified by the user selection 605.Alternatively and/or additionally, at least some of the one or moresummary types and the one or more settings may be determined by thedevice 615 and at least some of the one or more summary types and theone or more settings may be specified by the user selection 605 (e.g.,selected by the user).

In an example, the user selection 605 may specify that the summary 620comprises a graphical representation comprising a background scenery625, a first visual representation 630 corresponding to a second userand/or a second visual representation 635 corresponding to a third user.The user selection 605 may further specify that the summary 620comprises an audible representation comprising a first voice 640corresponding to the second user, a second voice 645 corresponding tothe third user and/or a background music 650.

The summary 620, further illustrated in FIG. 6C, may comprise ananimation and a dialogue presenting content of the conversation 610 thatthe device 615 deems significant. For example, the animation maycomprise the first visual representation 630 and the second visualrepresentation acting out the content, overlaid on the backgroundscenery 625. The dialogue may comprise a first dialogue part (e.g.,corresponding to the second user) and a second dialogue part (e.g.,corresponding to the third user). The first dialogue part may beconfigured using the first voice 640 and the second dialogue part may beconfigured using the second voice 645. The animation may be synchronizedwith the dialogue. The background music 650 may be configured to playthroughout the animation and the dialogue.

FIG. 7 illustrates a system 700 for summarizing a conversation. In someexamples, a server and/or a client device of a user may analyze amessage 705 to determine a first emotion (e.g., excited, happy, bored,sad, mad, scared, etc.). For example, the server and/or the clientdevice may determine a sad emotion based upon a word, a phrase and/or asymbol (e.g., an image, an emoji, etc.) within the message 705.Responsive to determining the sad emotion, the server and/or the clientdevice may generate a sad visual representation 710 (e.g., portraying asad emotion) and/or may generate a dialogue part using a sad voice 715(e.g., portraying a sad emotion).

Similarly, the server and/or the client device may analyze a message 720to determine a second emotion (e.g., excited, happy, bored, sad, mad,scared, etc.). For example, the server and/or the client device maydetermine a happy emotion based upon a word, a phrase and/or a symbol(e.g., an image, an emoji, etc.) within the message 720. Responsive todetermining the happy emotion, the server and/or the client device maygenerate a happy visual representation 725 (e.g., portraying a happyemotion) and/or may generate a dialogue part using a happy voice 730(e.g., portraying a happy emotion).

The server and/or the client device may analyze a message 735 togenerate one or more sound effects. For example, the server and/or theclient device may generate a car sound effect 740 based upon a word, aphrase and/or a symbol (e.g., an image, an emoji, etc.) within themessage 735. The server and/or the client device may (e.g., then)generate a summary comprising the sad visual representation 710, the sadvoice 715, the happy visual representation 725, the happy voice 730and/or the car sound effect 740.

It may be appreciated that the disclosed subject matter may assist auser (e.g., and/or the device associated with the user) in attaining anunderstanding of at least a portion of a (e.g., group) conversation(e.g., such as a group chat using an app, a group chat using an instantmessaging service, a group chat using a text message service, a groupchat using a social network, an email stream, etc.) with a plurality ofusers (e.g., members of the conversation).

In some examples, at least some of the disclosed subject matter may beimplemented on a client device, and in some examples, at least some ofthe disclosed subject matter may be implemented on a server (e.g.,hosting a service accessible via a network, such as the Internet).

FIG. 8 is an illustration of a scenario 800 involving an examplenon-transitory machine readable medium 802. The non-transitory machinereadable medium 802 may comprise processor-executable instructions 812that when executed by a processor 816 cause performance (e.g., by theprocessor 816) of at least some of the provisions herein (e.g.,embodiment 814). The non-transitory machine readable medium 802 maycomprise a memory semiconductor (e.g., a semiconductor utilizing staticrandom access memory (SRAM), dynamic random access memory (DRAM), and/orsynchronous dynamic random access memory (SDRAM) technologies), aplatter of a hard disk drive, a flash memory device, or a magnetic oroptical disc (such as a compact disc (CD), digital versatile disc (DVD),or floppy disk). The example non-transitory machine readable medium 802stores computer-readable data 804 that, when subjected to reading 806 bya reader 810 of a device 808 (e.g., a read head of a hard disk drive, ora read operation invoked on a solid-state storage device), express theprocessor-executable instructions 812. In some embodiments, theprocessor-executable instructions 812, when executed, cause performanceof operations, such as at least some of the example method 400 of FIG.4, for example. In some embodiments, the processor-executableinstructions 812 are configured to cause implementation of a system,such as at least some of the example system 500 of FIG. 5, the examplesystem 600 of FIGS. 6A-6C and/or the example system 700 of FIG. 7, forexample.

3. Usage of Terms

As used in this application, “component,” “module,” “system”,“interface”, and/or the like are generally intended to refer to acomputer-related entity, either hardware, a combination of hardware andsoftware, software, or software in execution. For example, a componentmay be, but is not limited to being, a process running on a processor, aprocessor, an object, an executable, a thread of execution, a program,and/or a computer. By way of illustration, both an application runningon a controller and the controller can be a component. One or morecomponents may reside within a process and/or thread of execution and acomponent may be localized on one computer and/or distributed betweentwo or more computers.

Unless specified otherwise, “first,” “second,” and/or the like are notintended to imply a temporal aspect, a spatial aspect, an ordering, etc.Rather, such terms are merely used as identifiers, names, etc. forfeatures, elements, items, etc. For example, a first object and a secondobject generally correspond to object A and object B or two different ortwo identical objects or the same object.

Moreover, “example” is used herein to mean serving as an instance,illustration, etc., and not necessarily as advantageous. As used herein,“or” is intended to mean an inclusive “or” rather than an exclusive“or”. In addition, “a” and “an” as used in this application aregenerally be construed to mean “one or more” unless specified otherwiseor clear from context to be directed to a singular form. Also, at leastone of A and B and/or the like generally means A or B or both A and B.Furthermore, to the extent that “includes”, “having”, “has”, “with”,and/or variants thereof are used in either the detailed description orthe claims, such terms are intended to be inclusive in a manner similarto the term “comprising”.

Although the subject matter has been described in language specific tostructural features and/or methodological acts, it is to be understoodthat the subject matter defined in the appended claims is notnecessarily limited to the specific features or acts described above.Rather, the specific features and acts described above are disclosed asexample forms of implementing at least some of the claims.

Furthermore, the claimed subject matter may be implemented as a method,apparatus, or article of manufacture using standard programming and/orengineering techniques to produce software, firmware, hardware, or anycombination thereof to control a computer to implement the disclosedsubject matter. The term “article of manufacture” as used herein isintended to encompass a computer program accessible from anycomputer-readable device, carrier, or media. Of course, manymodifications may be made to this configuration without departing fromthe scope or spirit of the claimed subject matter.

Various operations of embodiments are provided herein. In an embodiment,one or more of the operations described may constitute computer readableinstructions stored on one or more computer and/or machine readablemedia, which if executed will cause the operations to be performed. Theorder in which some or all of the operations are described should not beconstrued as to imply that these operations are necessarily orderdependent. Alternative ordering will be appreciated by one skilled inthe art having the benefit of this description. Further, it will beunderstood that not all operations are necessarily present in eachembodiment provided herein. Also, it will be understood that not alloperations are necessary in some embodiments.

Also, although the disclosure has been shown and described with respectto one or more implementations, equivalent alterations and modificationswill occur to others skilled in the art based upon a reading andunderstanding of this specification and the annexed drawings. Thedisclosure includes all such modifications and alterations and islimited only by the scope of the following claims. In particular regardto the various functions performed by the above described components(e.g., elements, resources, etc.), the terms used to describe suchcomponents are intended to correspond, unless otherwise indicated, toany component which performs the specified function of the describedcomponent (e.g., that is functionally equivalent), even though notstructurally equivalent to the disclosed structure. In addition, while aparticular feature of the disclosure may have been disclosed withrespect to only one of several implementations, such feature may becombined with one or more other features of the other implementations asmay be desired and advantageous for any given or particular application.

What is claimed is:
 1. A method for summarization of a conversation,comprising: receiving a first message, in a conversation, from a firstuser; receiving a second message, in the conversation, from a seconduser; generating a summary based upon the first message and the secondmessage; and presenting, to a third user, the summary.
 2. The method ofclaim 1, the summary generated responsive to at least one of: adetermination that the third user did not view the first message and thesecond message; or a user request by the third user.
 3. The method ofclaim 1, the summary comprising at least one of: a graphicalrepresentation of a combination of the first message and the secondmessage; a textual representation of the combination of the firstmessage and the second message; or an audible representation of thecombination of the first message and the second message.
 4. The methodof claim 3, comprising: generating a first visual representation of thefirst user; generating a second visual representation of the seconduser; and generating an animation, for the graphical representation,based upon the first visual representation, the second visualrepresentation and the combination of the first message and the secondmessage.
 5. The method of claim 3, comprising: generating a firstaudible user representation of the first user; generating a secondaudible user representation of the second user; and generating anaudible narration of the combination of the first message and the secondmessage, for the audible representation, based upon the first audibleuser representation, the second audible user representation and thecombination of the first message and the second message.
 6. The methodof claim 3, comprising: generating a dialogue, for the audiblerepresentation, based upon the combination of the first message and thesecond message.
 7. The method of claim 6, comprising: analyzing thefirst message to determine a first emotion; analyzing the second messageto determine a second emotion; analyzing a first voice of the firstuser; analyzing a second voice of the second user; generating a firstdialogue part, corresponding to the first user, based upon the firstmessage and at least one of the first emotion or the first voice;generating a second dialogue part, corresponding to the second user,based upon the second message and at least one of the second emotion orthe second voice; and combining the first dialogue part and the seconddialogue part to generate the dialogue.
 8. The method of claim 3,comprising: combining at least two of the graphical representation, thetextual representation or the audible representation to generate thesummary.
 9. The method of claim 1, the summary generated based upon asummary type specified by the third user.
 10. The method of claim 1,wherein the summary comprises an abstractive summary, the methodcomprising: applying natural language processing to the first message togenerate a first abstractive summary part; applying natural languageprocessing to the second message to generate a second abstractivesummary part; and combining the first abstractive summary part and thesecond abstractive summary part to generate the abstractive summary. 11.The method of claim 1, wherein the summary comprises an extractivesummary, the method comprising: analyzing the first message to identifya first verbatim extract; analyzing the second message to identify asecond verbatim extract; and combining the first verbatim extract andthe second verbatim extract to generate the extractive summary.
 12. Themethod of claim 1, wherein the summary comprises a topic based summary,the method comprising: determining a term frequency-inverse documentfrequency value based upon a combination of the first message and thesecond message; determining a topic based upon the termfrequency-inverse document frequency value; and generating the topicbased summary based upon the topic and the combination of the firstmessage and the second message.
 13. The method of claim 1, wherein thesummary comprises a topic based summary, the method comprising:receiving a topic from the third user; and generating the topic basedsummary based upon the topic and a combination of the first message andthe second message.
 14. The method of claim 1, wherein the summarycomprises a user based summary, the method comprising: receiving a useridentification, corresponding to a user, from the third user; analyzingthe conversation to determine activity related to the user; andgenerating the user based summary based upon the activity related to theuser.
 15. The method of claim 1, wherein the summary comprises aset-of-users based summary, the method comprising: receiving a firstuser identification, corresponding to the first user, from the thirduser; receiving a second user identification, corresponding to thesecond user, from the third user; analyzing the conversation todetermine a first activity related to the first user; analyzing theconversation to determine a second activity related to the second user;and generating the set-of-users based summary based upon the firstactivity and the second activity.
 16. The method of claim 1, wherein thesummary comprises a membership based summary, the method comprising:receiving a first user identification, corresponding to the first user,from the third user; receiving a second user identification,corresponding to the second user, from the third user; analyzing theconversation to generate a first membership status summary of the firstuser; analyzing the conversation to generate a second membership statussummary of the second user; and combining the first membership statussummary and the second membership status summary to generate themembership based summary.
 17. A computing device comprising: aprocessor; and memory comprising processor-executable instructions thatwhen executed by the processor cause performance of operations, theoperations comprising: receiving a first message, in a conversation,from a first user; receiving a second message, in the conversation, froma second user; generating a summary based upon the first message and thesecond message; and presenting, to a third user, the summary.
 18. Thecomputing device of claim 17, the summary generated responsive to atleast one of: a determination that the third user did not view the firstmessage and the second message; or a user request by the third user. 19.A non-transitory machine readable medium having stored thereonprocessor-executable instructions that when executed cause performanceof operations, the operations comprising: receiving a first message, ina conversation, from a first user; receiving a second message, in theconversation, from a second user; generating a summary based upon thefirst message and the second message; and presenting, to a third user,the summary.
 20. The non-transitory machine readable medium of claim 19,the summary comprising at least one of: a graphical representation of acombination of the first message and the second message; a textualrepresentation of the combination of the first message and the secondmessage; or an audible representation of the combination of the firstmessage and the second message.